Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "206"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 206 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 76 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 74 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 206, Node N19:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459892 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.391075 0.331377 -1.256238 -1.257465 14.023453 -0.930277 0.834250 2.833352 0.6438 0.6592 0.3871 nan nan
2459891 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.258825 0.357973 -0.513626 -0.988215 21.877206 -2.522243 -0.169909 4.117081 0.6415 0.6530 0.3904 nan nan
2459890 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.642744 0.673457 1.363589 -0.925490 9.526168 -1.572623 0.901400 4.010809 0.6568 0.6476 0.3915 nan nan
2459889 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.501595 1.498696 0.208045 -1.005032 26.849576 -2.557180 -1.130123 4.928159 0.6566 0.6495 0.3834 nan nan
2459888 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.310439 0.330450 -0.720344 -0.911347 15.541708 -2.466162 0.599213 1.166276 0.6667 0.6704 0.3806 nan nan
2459887 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.456032 0.837129 -2.268045 -0.532164 7.523381 -2.497391 1.039636 0.465800 0.6486 0.6582 0.3858 nan nan
2459886 RF_ok 0.00% 0.00% 0.00% 0.00% - - -0.184541 1.039321 -1.507234 0.019517 2.063806 -1.283484 -1.572744 -0.771987 0.7457 0.7410 0.3214 nan nan
2459885 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.551457 3.357928 23.094089 17.554922 17.749052 2.873890 9.674905 5.415368 0.7178 0.7008 0.3408 nan nan
2459884 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.281944 1.059045 0.491214 -0.857970 15.187232 -2.176689 0.676891 3.451882 0.6651 0.6486 0.3860 nan nan
2459883 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.250741 3.315240 20.302443 15.113577 15.994544 1.195644 4.364104 12.407649 0.6688 0.6574 0.3740 nan nan
2459882 RF_ok 100.00% 0.00% 0.00% 0.00% - - 4.117422 5.503314 28.322809 17.674069 7.197707 2.033303 1.355901 7.157440 0.6773 0.6560 0.3713 nan nan
2459881 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.326901 2.344382 29.562742 20.374427 21.617898 3.498124 0.693262 15.146771 0.7139 0.7137 0.3197 nan nan
2459880 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.336705 3.090963 21.700899 16.049659 17.797726 1.247085 4.461170 6.538424 0.6668 0.6603 0.3825 nan nan
2459879 RF_ok 100.00% 0.00% 0.00% 0.00% - - -0.086447 -0.084611 -2.529542 -2.724051 18.178323 -1.186594 -0.061121 4.867199 0.6419 0.6573 0.3904 nan nan
2459878 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.478550 3.325770 22.726455 19.716556 29.791583 2.206781 1.652219 9.116249 0.6550 0.6617 0.3846 nan nan
2459839 RF_ok 100.00% - - - - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459830 RF_ok 100.00% 59.68% 59.68% 0.00% 100.00% 0.00% 25.011405 25.197804 6.058354 10.096862 29.323407 25.573349 28.125853 29.436153 0.3216 0.2234 0.2109 1.381618 1.393026
2459829 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459828 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 21.337228 21.469948 0.562135 6.837186 9.298003 10.607351 56.062376 69.125696 0.7715 0.5056 0.5605 0.000000 0.000000
2459827 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 23.269016 22.945236 3.880272 11.369344 5.144116 10.232401 18.603296 25.624266 0.7038 0.6374 0.4262 0.000000 0.000000
2459826 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 18.781516 19.179917 3.475008 10.237495 13.900493 13.801700 32.753251 34.075347 0.7715 0.5320 0.5311 5.520921 5.037990
2459825 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 20.696986 21.259775 4.418166 7.564147 5.973616 7.729504 4.544514 4.626343 0.7781 0.5422 0.5315 3.605243 2.824392
2459824 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 19.549767 19.516348 4.797792 9.995817 9.612079 8.268569 25.455486 29.368401 0.6587 0.6923 0.3780 0.000000 0.000000
2459823 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.868102 18.657007 3.727173 9.171156 7.771865 11.408617 1.822391 3.740808 0.7183 0.5980 0.4738 4.106594 4.200779
2459822 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 19.664737 20.332316 1.245252 9.325556 5.019251 9.230195 8.871910 6.924499 0.7670 0.5685 0.5103 3.067055 2.684325
2459821 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 22.001821 23.592593 1.274262 9.457207 3.873586 7.662171 5.114122 3.229174 0.7524 0.5650 0.5137 3.050127 2.825174
2459820 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 23.893740 23.812514 1.348629 9.969155 14.690327 15.739889 41.298129 42.511496 0.7012 0.6374 0.4408 3.797979 3.981691
2459817 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 19.625061 21.383960 1.166149 7.621510 5.358976 12.126937 5.527599 5.643704 0.7592 0.5945 0.5257 3.229410 3.044990
2459816 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.475116 18.063730 4.537035 10.649577 12.947028 17.532493 34.543741 40.290342 0.8244 0.5528 0.6126 3.703507 3.102331
2459815 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.859239 19.406050 2.652168 8.600024 9.263705 16.900467 35.904957 39.077260 0.7523 0.6079 0.5205 2.898272 2.942432
2459814 RF_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 206: 2459892

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 14.023453 0.331377 0.391075 -1.257465 -1.256238 -0.930277 14.023453 2.833352 0.834250

Antenna 206: 2459891

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 21.877206 0.258825 0.357973 -0.513626 -0.988215 21.877206 -2.522243 -0.169909 4.117081

Antenna 206: 2459890

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 9.526168 0.673457 0.642744 -0.925490 1.363589 -1.572623 9.526168 4.010809 0.901400

Antenna 206: 2459889

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 26.849576 0.501595 1.498696 0.208045 -1.005032 26.849576 -2.557180 -1.130123 4.928159

Antenna 206: 2459888

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 15.541708 0.330450 0.310439 -0.911347 -0.720344 -2.466162 15.541708 1.166276 0.599213

Antenna 206: 2459887

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 7.523381 0.837129 0.456032 -0.532164 -2.268045 -2.497391 7.523381 0.465800 1.039636

Antenna 206: 2459886

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 2.063806 -0.184541 1.039321 -1.507234 0.019517 2.063806 -1.283484 -1.572744 -0.771987

Antenna 206: 2459885

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Power 23.094089 3.357928 2.551457 17.554922 23.094089 2.873890 17.749052 5.415368 9.674905

Antenna 206: 2459884

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 15.187232 1.059045 0.281944 -0.857970 0.491214 -2.176689 15.187232 3.451882 0.676891

Antenna 206: 2459883

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Power 20.302443 3.315240 2.250741 15.113577 20.302443 1.195644 15.994544 12.407649 4.364104

Antenna 206: 2459882

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Power 28.322809 5.503314 4.117422 17.674069 28.322809 2.033303 7.197707 7.157440 1.355901

Antenna 206: 2459881

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Power 29.562742 2.344382 2.326901 20.374427 29.562742 3.498124 21.617898 15.146771 0.693262

Antenna 206: 2459880

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Power 21.700899 3.090963 2.336705 16.049659 21.700899 1.247085 17.797726 6.538424 4.461170

Antenna 206: 2459879

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 18.178323 -0.084611 -0.086447 -2.724051 -2.529542 -1.186594 18.178323 4.867199 -0.061121

Antenna 206: 2459878

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok ee Temporal Variability 29.791583 3.325770 2.478550 19.716556 22.726455 2.206781 29.791583 9.116249 1.652219

Antenna 206: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 206: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 29.436153 25.011405 25.197804 6.058354 10.096862 29.323407 25.573349 28.125853 29.436153

Antenna 206: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 206: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 69.125696 21.469948 21.337228 6.837186 0.562135 10.607351 9.298003 69.125696 56.062376

Antenna 206: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 25.624266 23.269016 22.945236 3.880272 11.369344 5.144116 10.232401 18.603296 25.624266

Antenna 206: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 34.075347 19.179917 18.781516 10.237495 3.475008 13.801700 13.900493 34.075347 32.753251

Antenna 206: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape 21.259775 21.259775 20.696986 7.564147 4.418166 7.729504 5.973616 4.626343 4.544514

Antenna 206: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 29.368401 19.549767 19.516348 4.797792 9.995817 9.612079 8.268569 25.455486 29.368401

Antenna 206: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape 18.657007 18.657007 16.868102 9.171156 3.727173 11.408617 7.771865 3.740808 1.822391

Antenna 206: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape 20.332316 19.664737 20.332316 1.245252 9.325556 5.019251 9.230195 8.871910 6.924499

Antenna 206: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape 23.592593 23.592593 22.001821 9.457207 1.274262 7.662171 3.873586 3.229174 5.114122

Antenna 206: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 42.511496 23.893740 23.812514 1.348629 9.969155 14.690327 15.739889 41.298129 42.511496

Antenna 206: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape 21.383960 19.625061 21.383960 1.166149 7.621510 5.358976 12.126937 5.527599 5.643704

Antenna 206: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 40.290342 18.063730 17.475116 10.649577 4.537035 17.532493 12.947028 40.290342 34.543741

Antenna 206: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Temporal Discontinuties 39.077260 19.406050 17.859239 8.600024 2.652168 16.900467 9.263705 39.077260 35.904957

Antenna 206: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 206: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
206 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan
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